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Some starter code for training/testing some basic CNN models given our data.
Hi, I wanted to know about how to run this docker container locally. I have tried by putting /trainingData
, etc on my /
directory then ran the docker by this command:
sudo docker run -i -t docker.synapse.org/synXXXXXX/tensorflow-example:local /train.sh
However, the output that I received was this:
./train.sh: line 7: nvidia-smi: command not found
Python 2.7.6
---
Metadata-Version: 2.0
Name: tensorflow
Version: 0.9.0
Summary: TensorFlow helps the tensors flow
Home-page: http://tensorflow.org/
Author: Google Inc.
Author-email: [email protected]
Installer: pip
License: Apache 2.0
Location: /usr/local/lib/python2.7/dist-packages
Requires: numpy, six, wheel, protobuf
Classifiers:
Development Status :: 4 - Beta
Intended Audience :: Developers
Intended Audience :: Education
Intended Audience :: Science/Research
License :: OSI Approved :: Apache Software License
Programming Language :: Python :: 2.7
Topic :: Scientific/Engineering :: Mathematics
Topic :: Software Development :: Libraries :: Python Modules
Topic :: Software Development :: Libraries
Entry-points:
[console_scripts]
tensorboard = tensorflow.tensorboard.tensorboard:main
/usr/local/lib/python2.7/dist-packages/sklearn/cross_validation.py:44: DeprecationWarning: This module was deprecated in version 0.18 in favor of the model_selection module into which all the refactored classes and functions are moved. Also note that the interface of the new CV iterators are different from that of this module. This module will be removed in 0.20.
"This module will be removed in 0.20.", DeprecationWarning)
I tensorflow/stream_executor/dso_loader.cc:108] successfully opened CUDA library libcublas.so locally
I tensorflow/stream_executor/dso_loader.cc:108] successfully opened CUDA library libcudnn.so locally
I tensorflow/stream_executor/dso_loader.cc:108] successfully opened CUDA library libcufft.so locally
I tensorflow/stream_executor/dso_loader.cc:102] Couldn't open CUDA library libcuda.so. LD_LIBRARY_PATH: /usr/local/nvidia/lib:/usr/local/nvidia/lib64:
I tensorflow/stream_executor/cuda/cuda_diagnostics.cc:160] hostname: 1c2b38b1206a
I tensorflow/stream_executor/cuda/cuda_diagnostics.cc:185] libcuda reported version is: Not found: was unable to find libcuda.so DSO loaded into this program
I tensorflow/stream_executor/cuda/cuda_diagnostics.cc:189] kernel reported version is: Permission denied: could not open driver version path for reading: /proc/driver/nvidia/version
I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:1076] LD_LIBRARY_PATH: /usr/local/nvidia/lib:/usr/local/nvidia/lib64:
I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:1077] failed to find libcuda.so on this system: Failed precondition: could not dlopen DSO: libcuda.so; dlerror: libcuda.so: cannot open shared object file: No such file or directory
I tensorflow/stream_executor/dso_loader.cc:108] successfully opened CUDA library libcurand.so locally
hdf5 not supported (please install/reinstall h5py)
Namespace(bs=50, csv1='/metadata/images_crosswalk.tsv', csv2='/metadata/exams_metadata.tsv', csv3='/scoringData/image_metadata.tsv', decay=0.985, dropout=0.6, epoch=10, lr=0.0001, matrix_size=448, net='GoogLe', output='/metadata/out_train.txt', outtxt='/output/out.txt', path_data='/trainingData', reg=0.0001, saver='/modelState/model.ckpt', test=0, time=240.0)
Traceback (most recent call last):
File "DREAM_DM_starter_tf.py", line 705, in <module>
main(sys.argv)
File "DREAM_DM_starter_tf.py", line 684, in main
f = open(opts.output, 'w')
IOError: [Errno 2] No such file or directory: '/modelState/out_train.txt'
It seems that it didn't find the /modelState
directory.
What did I do wrong?
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